Video
CAMARA is an open-source project which is part of Linux Foundation. It aims at defining service APIs by combining network APIs, over an operator domain. CAMARA works in close collaboration with the GSMA Operator Platform Group to align API requirements and definitions, and to publish APIs.
IEEE 5G testbed supports the CAMARA initiative and provides these APIs for data privacy and regulatory requirements and facilitate application to network integration.
CAMARA APIs allow to tackle several types of business use cases leveraging 4G/5G network capabilities.
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Ground-penetrating radar is an extensively used geophysical tool in cryosphere sciences (ice sheets and glaciers) with sounding depths of several kilometers due to the small radio-wave attenuation in ice sheets. Detection of the ice thickness and internal ice stratigraphy with commercial radars has become standard. However, there is still an observational gap in determining dielectric and mechanical ice-fabric anisotropy and basal properties using these systems. Recently, ground-based phase coherent radar has shown its potential to fill this gap.
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This dataset presents a comprehensive video collection of Internet of Things (IoT) products, encompassing both market successes and failures. Its primary focus is to explore the vision, technology, and capabilities of these IoT innovations, recognizing that products not viable today might inspire or become feasible in the future due to advancements in technology and reductions in manufacturing costs. The collection is particularly valuable for a wide array of stakeholders in IoT, including educators, researchers, product designers, and manufacturers.
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This is the hardware demonstration video for the paper entitled Explainable Neural Dynamics Models for Motor Temperature Prediction. Below is the abstract.
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Formation navigation and obstacle avoidance experiments based on multi-bionic robotic fish.
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